Solutions · Edge AI
Decide where the data is made.
Evaluation belongs at the machine, next to the process. Raw data stays on site unless you export it.
No cloud required
No cloud account, no dependence on an internet connection.
Data stays on site
Raw data stays on the hub in your plant unless you export it. That saves bandwidth and protects your data.
Result at the machine
Once a model is deployed, the operator sees its result where the work happens.
What runs at the edge
- Qualcomm QCS6490 with NPU. Models trained on your data run on the CPU as ONNX, first proven on our Vibration Node; NPU deployment: coming soon.
- Trained for you by our engineers: anomaly detection, fault and multi-fault classification, severity grading
- In our energy-autonomous sensor: a lean time-domain classifier
Our design rule: The AI grades and reports. It never sits in a real-time control loop, an interlock or a safety function. Whether the process changes is your team's call.
Next step
How much AI does your task need?
Anomaly detection is often enough to start. Together we work out which level makes sense.